Job ID-197657

Data Integration Engineer

Data Management

39 Positions

Experience 5-7 Years

Chennai/Mumbai/Bangalore/Pune, Multicity, India

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Job Skills

SSIS-SQL Server Integ Services, Data Management, BI/BA


•  Front end the delivery of processes to data extraction, transformation, 
    and load from disparate sources into a form that is consumable by                analytics processes, for projects with moderate complexity, using strong        technical capabilities and sense of database performance
•  Sound understanding of dimensional data modelling standards and best       practices to ensure high quality
•  Batch Processing - Capability to design an efficient way of processing 
    high volumes of data where a group of transactions is collected over a          period 
•  Data Integration (Sourcing, Storage and Migration) - Capability to design     and implement models, capabilities, and solutions to manage data within     the enterprise (structured and unstructured, data archiving principles, 
   data warehousing, data sourcing, etc.).  This includes the data models,           storage requirements and migration of data from one system to another
•  Data Quality, Profiling and Cleansing - Capability to review (profile) a data     set to establish its quality against a defined set of parameters and to             highlight data where corrective action (cleansing) is required to remediate     the data 
•  Stream Systems - Capability to discover, integrate, and ingest all available      data from the machines that produce it, as fast as it is produced, in any          format, and at any quality
•  Excellent interpersonal skills to build network with variety of department        across business to understand data and deliver business value and may        interface and communicate with program teams, management and                stakeholders as required to deliver small to medium-sized projects

The Role offers
•  Great opportunities to learn various tools and technologies used in a              sophisticated data architecture within the Business Intelligence and                Analytics Data Services
•  Gives an opportunity to showcase candidates’ strong analytical skills and        problem-solving ability
•  An outstanding opportunity to re-imagine, redesign, and apply                      technology to add value to the business and operations
•  Learning & growth opportunities in cloud and Big data engineering                spaces

Essential Skills
•  3+ years’ experience in developing large scale data pipelines in a                    cloud/On-prem environment.
•  Highly Proficient in any or more of market leading ETL tools like                      Informatica, DataStage, SSIS, Talend, etc.,
•  Fundamental knowledge in Data warehouse/Data Mart architecture and        modelling
•  Define and develop data ingest, validation, and transform pipelines.
•  Fundamental knowledge of distributed data processing and storage
•  Fundamental knowledge of working with structured, unstructured, and          semi structured data
•  For cloud data engineer, experience with ETL/ELT patterns, preferably            using Azure Data Factory and Databricks jobs
•  Extensive experience in the application of analytics, insights and data              mining to commercial “real-world” problems
•  Technical experience in programming in Python, R and statistical                    packages (R, SAS)

Essential Qualification
•  BE/Btech in Computer Science, Engineering or relevant field

Why you should join Hexaware’s Data Community Practice

360 Degree Career Growth – Opportunity to work in Delivery, Presales, Solutioning, Competency Management etc

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Delivery Locations Across the World India - Noida, Mumbai, Chennai, Pune, & Bengaluru Global - Atlanta, Mexico, Romania, New Jersey, Virginia, Boston, Sweden, London, Amsterdam

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Free & Continuous BI tools and cloud platform (AWS, Azure, GCP etc) Trainings & Certifications

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24*7*365 Access to Cloud Labs

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3X growth for BI&A at Hexaware in the past 4 years

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1000+ engagements

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Data Integration Engineer



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